lmomgpa | R Documentation |
This function estimates the L-moments of the Generalized Pareto distribution given the parameters (\xi
, \alpha
, and \kappa
) from pargpa
. The L-moments in terms of the parameters are
\lambda_1 = \xi + \frac{\alpha}{\kappa+1} \mbox{,}
\lambda_2 = \frac{\alpha}{(\kappa+2)(\kappa+1)} \mbox{,}
\tau_3 = \frac{(1-\kappa)}{(\kappa+3)} \mbox{, and}
\tau_4 = \frac{(1-\kappa)(2-\kappa)}{(\kappa+4)(\kappa+3)} \mbox{.}
lmomgpa(para)
para |
The parameters of the distribution. |
An R list
is returned.
lambdas |
Vector of the L-moments. First element is
|
ratios |
Vector of the L-moment ratios. Second element is
|
trim |
Level of symmetrical trimming used in the computation, which is |
leftrim |
Level of left-tail trimming used in the computation, which is |
rightrim |
Level of right-tail trimming used in the computation, which is |
source |
An attribute identifying the computational source of the L-moments: “lmomgpa”. |
W.H. Asquith
Hosking, J.R.M., 1990, L-moments—Analysis and estimation of distributions using linear combinations of order statistics: Journal of the Royal Statistical Society, Series B, v. 52, pp. 105–124.
Hosking, J.R.M., 1996, FORTRAN routines for use with the method of L-moments: Version 3, IBM Research Report RC20525, T.J. Watson Research Center, Yorktown Heights, New York.
Hosking, J.R.M., and Wallis, J.R., 1997, Regional frequency analysis—An approach based on L-moments: Cambridge University Press.
pargpa
, cdfgpa
, pdfgpa
, quagpa
lmr <- lmoms(c(123,34,4,654,37,78))
lmr
lmomgpa(pargpa(lmr))
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